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business relationship enablement

Why Meg is the Future of B2B Sales: Building Trust, Closing Deals, and Elevating Relationships

December 13, 2024

Let’s get straight to it: If you’ve ever clicked on a chatbot hoping for help and instead found yourself stuck in an endless loop of "How can I help you?" followed by unhelpful canned responses, you’re not alone. In fact, B2B buyers everywhere are nodding their heads in collective frustration. Chatbots are supposed to assist, but instead, they often feel like those automated phone systems that make you yell, "Representative!" into the void.

In my last blog entry, I introduced Meg, ClientPoint’s AI-powered assistant who doesn’t just fill gaps but actively builds trust and nurtures relationships. Today, we’re diving deeper into why Meg is the game-changer the B2B world didn’t know it needed, how she measures trust with "Trust Velocity," and why your business relationships should be as easy and seamless as shopping on Amazon at 10PM.

Why Trust is the Ultimate Currency in B2B

In B2B, trust isn’t a luxury - it’s the price of admission. Buyers aren’t here to window shop; they’re here to solve real problems with big implications. And yet, Gartner reports that 77% of B2B buyers say their most recent purchase was "complex or difficult." Translation? They’re stressed, and every roadblock—including unhelpful bots—is an invitation to take their business elsewhere.

So how do we quantify something as abstract as trust? Enter Trust Velocity: the speed and consistency with which trust builds between a buyer and a company. Think of it as the fast lane to better business. Faster trust velocity means shorter sales cycles, higher close rates, and happier customers. Meg accelerates this process by stepping in transparently as the representative of a real human when that human isn’t available, ensuring every interaction - whether AI-driven or human-led - feels professional, insightful, and productive.

How Meg Reinvents the Buyer Experience

Plugging Humans Back into the Process

Traditional chatbots operate like a virtual bouncer: they’re there, but they’re not letting you in. Meg, on the other hand, rolls out the red carpet. Buyers visiting your website can see real team members - their names, roles, and availability - ready to engage. They can choose to chat, schedule a meeting, or dive straight into a conversation. But what happens if that person is busy (because, you know, humans need sleep)? Enter Meg.

Meg steps in transparently as the AI assistant to the specific human the buyer selected. She bridges the gap, ensuring the conversation doesn’t stall while the human is in a meeting, at dinner, or catching some well-earned z’s. And when that person is back, the handoff is seamless, keeping the human-to-human relationship intact. It’s not just good customer service - it’s trust-building at its finest.

24/7 Responsiveness That Builds Trust

Meg operates on the clock - and by "on the clock," I mean every clock, in every time zone, 24/7. Her ability to match the tone and expertise of the human she represents makes her more than a stand-in; she’s a trusted proxy meant to super-empower a human-to-human relationship. Plus, Meg’s deep training in your company’s offerings means she answers questions with the confidence and nuance of a seasoned pro. Buyers feel valued, not placated.

Countering the Call Center Bot Argument

Now, let’s talk about the elephant in the room: cost-saving chatbots. Yes, they’re cheap, and yes, companies like Comcast tout the millions they’ve saved by replacing customer service reps with bots. But let’s be honest - those bots are about as popular as a Monday morning meeting that should’ve been an email.

In B2B, the stakes are higher. Revenue isn’t secured until trust is built and relationships are forged. Meg’s job isn’t to cut costs; it’s to grow revenue by enhancing trust and engagement. Where cost-saving bots frustrate customers and erode loyalty, Meg turns inquiries into partnerships by acting as a relationship builder in tandem with a human, not as a substitute for one.

A Case Study: Meg in Action

Let’s paint a picture. Imagine Sarah, a buyer at a mid-sized manufacturing company, lands on your website. She sees a list of your team members and decides to chat with your Sales Director, Mike. Unfortunately, Mike’s in a meeting. No problem - Meg introduces herself as Mike’s AI assistant, dives into Sarah’s needs, and schedules a follow-up meeting. By the time Sarah meets Mike, she already feels confident in your company’s expertise. The result? A shorter sales cycle, a larger deal size, and a buyer who’s ready to recommend you to her peers.

Visualizing Trust Progression

Picture a graph titled “The Meg Effect: Trust Velocity Over Time.” The x-axis represents time, while the y-axis measures trust. The graph starts at a baseline level and shows a steep incline during Sarah’s interaction with Meg. It then ramps at a high level once Mike joins the conversation, demonstrating how Meg ensures trust doesn’t just build - it sustains. Here it is…

 

Now imagine a second graph titled “The Trust Gap: When Humans Alone Manage Relationships.” This graph also starts at a baseline but dips whenever a human is unavailable - such as during meetings, at dinner, or asleep. Trust temporarily declines because buyers feel neglected or unsure without timely responses. It’s like going to Amazon at 10 PM and being told no one is available to help you find what you need. Ridiculous, right? The optimal B2B relationship should be just as seamless, and Meg ensures it is. Here’s how The Trust Gap (without Meg expertly filling in the gaps) might look…

Why Business Relationship Enablement is the Future

Meg isn’t just solving the chatbot problem; she’s redefining what AI can do in B2B. By digitally super-empowering human relationships, she exemplifies ClientPoint’s new category of SaaS: Business Relationship Enablement. This isn’t about automation for its own sake - it’s about creating meaningful, trust-filled interactions that drive results.

The payoff? Faster deals, happier customers, website visitors who are much more likely to do what you want them to, and stronger relationships that stand the test of time. Meg doesn’t just assist; she transforms the way you do business.

Ready to Experience the Meg Effect?

If you’re tired of bots that feel like a necessary evil and ready to revolutionize your B2B relationships, it’s time to meet Meg. Sign up for a free ClientPoint account at ClientPoint.me, then upgrade to ClientPoint AI Pro for less than $2/day. Get a taste, and you might want the Enterprise version of Meg, which is like nothing anyone has ever seen before. Just let us know if you’d like a tour. With Meg, the future of business relationship enablement is here, and it’s waiting for you.


Andy Jedynak is an experienced author & tech pioneer who has spent the last 25 years leading businesses in emerging sectors such as digital media, IoT, internet apps, mobile, crowdsourcing, SaaS, and AI. He is currently President & CEO of ClientPoint, a top-rated AI-driven global B2B SaaS platform whose mission is to become the front office of the business world. Previously, Andy produced television at NBC and played professional basketball in the German Bundesliga.

 

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